Markham, On Java full stack developer Jobs – 91 Openings This Week

GenAI Full Stack Developer (PL854)
Paralucent —Toronto, ON
- Full-time
- Hybrid work
- Azure
- DevOps
- System design
Quick apply
Mean Stack Developer
Recutify Inc. —Toronto, ON
- Full-time
- Hybrid work
- Software troubleshooting
- Maintenance
- Databases
Quick apply
Senior Software Engineer
Scotiabank —Toronto, ON
- Azure
- DevOps
- Java
- Tuition reimbursement
Staff Android OS Engineer - Infotainment
Rivian and Volkswagen Group Technologies —Toronto, ON
- $137,000–$181,890 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Java
.Net Developer
Kumaran Systems —Toronto, ON
- Full-time
- Azure
- Oracle
- Java
Agentic AI Platform Engineer (PL862)
Paralucent —Toronto, ON
- Full-time
- Hybrid work
- Azure
- DevOps
- Java
Quick apply
CCaaS Engineer
Accenture —Toronto, ON
- $69,450–$119,450 a year
- Full-time
- Salesforce
- English
- Java
7d
Senior Backend Engineer, AI Platform
EvenUp —Toronto, ON
- $184,728–$249,926 a year
- Full-time
- Hybrid work
- System design
- Java
- C++
- Designated paid holidays
- Disability insurance
Quick apply
Staff Back End Engineer (Applications)
Forma.ai —Toronto, ON
- Java
- Databases
- SQL
- Disability insurance
- Dental care
Quick apply
Engineer II - WIAM
TD Bank —Toronto, ON
- $96,900–$136,800 a year
- Full-time
- Azure
- Oracle
- DevOps
- Paid time off
Senior Site Reliability Engineer
iManage —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Engineering
- Java
- Dental care
- Paid time off
Quick apply
Sr. Software Engineer, Backend
Pinterest —Toronto, ON
- Hybrid work
- Computer science
- Computer Science
- Java

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Senior Software Engineer
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5–7 years of hands on experience building and supporting enterprise web applications (design, development, testing, and production support).
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java full stack developer jobs near markham, on

GenAI Full Stack Developer (PL854)

Paralucent -
Toronto, ON

Quick apply

Job details

Full-time

Qualifications

CI/CD
Authentication
Elasticsearch
Azure
Cloud architecture
Node.js
Law
React
Kubernetes
Full-stack development
DevOps
System design
NoSQL
.NET
Java
Databases
Microservices
OS Kernels
Docker
PostgreSQL
Distributed systems
Terraform
Redis
REST
Angular
SharePoint
GitHub
APIs
ServiceNow
Agile
Service-oriented architecture
AI
TypeScript
Python

Full job description

Location: Toronto, ON, Canada

Contract Duration: 6 Month Contract

Work Type: Hybrid

Job Description

Our client is seeking a GenAI Full Stack Developer to design, build, and scale enterprise AI applications powered by Large Language Models, Retrieval-Augmented Generation (RAG), and Azure-native cloud services.

This role is ideal for someone with strong backend engineering and system design capability who enjoys building production-grade AI systems across the full stack. You will work closely with product, UX, platform, and engineering teams to deliver secure, scalable, and reliable AI-powered applications with a strong focus on performance, maintainability, and responsible AI practices.

Full Stack Development

Build and maintain modern web applications using React, Next.js, Angular, or similar frameworks
Design and develop scalable backend APIs and AI orchestration services using advanced Python, FastAPI, Node.js, Java, or .NET
Develop cloud-native and serverless applications using Azure services such as Azure Functions, API Management, Logic Apps, and Azure Service Bus
Implement secure authentication and authorisation systems including OAuth2, OpenID Connect, JWT, and RBAC
Apply software engineering best practices including testing, CI/CD, documentation, code reviews, and modular architecture

GenAI & RAG Engineering

Design and implement AI-powered capabilities such as assistants, semantic search, summarisation, workflow automation, and intelligent retrieval systems
Build and optimise enterprise-grade RAG architectures including ingestion pipelines, chunking strategies, embeddings, vector search, hybrid retrieval, reranking, grounding, and hallucination mitigation
Integrate with LLM providers and orchestration frameworks including Azure OpenAI, OpenAI, Anthropic, Hugging Face, LangChain, Semantic Kernel, or LlamaIndex
Develop prompt engineering strategies, tool/function calling workflows, guardrails, moderation pipelines, and output validation systems
Implement observability and evaluation mechanisms for monitoring LLM quality, latency, and reliability

Data & Enterprise Integrations

Integrate AI applications with enterprise systems such as SharePoint, Salesforce, ServiceNow, and internal APIs
Develop data ingestion, enrichment, transformation, and retrieval pipelines
Work with relational, NoSQL, and vector databases including PostgreSQL, Redis, Azure AI Search, Pinecone, Elasticsearch, or similar technologies
Ensure strong governance, privacy, and security controls for enterprise and sensitive data

Performance, Security & Reliability

Optimise LLM performance, scalability, latency, and operational cost through caching, batching, streaming, and token optimisation
Design resilient distributed systems using retries, fallbacks, circuit breakers, and graceful degradation patterns
Implement logging, monitoring, tracing, and observability solutions using OpenTelemetry, Application Insights, Grafana, or similar tooling
Apply responsible AI principles including privacy controls, auditability, bias mitigation, and secure AI implementation practices
Participate in system design discussions and contribute to scalable cloud architecture decisions

Required Skills & Experience

3 to 8+ years of full stack software engineering experience
Advanced Python programming and backend engineering capability
Deep hands-on experience building production-grade RAG systems and LLM-enabled applications
Strong experience with Azure-native architecture and serverless services
Strong understanding of REST APIs, microservices, distributed systems, and cloud-native design
Experience designing secure authentication and API security solutions using OAuth2, OpenID Connect, JWT, and RBAC
Strong system design and scalable architecture capability
Experience with CI/CD pipelines, testing frameworks, version control, and agile delivery methodologies

Preferred Qualifications

Experience with Azure OpenAI, Azure AI Search, Azure Functions, Azure API Management, Azure Key Vault, and Azure Service Bus
Familiarity with LangChain, Semantic Kernel, LlamaIndex, or similar AI orchestration frameworks
Experience with vector databases, embedding models, reranking, and grounding techniques
Experience with Docker, Kubernetes, Terraform, or Infrastructure as Code practices
Understanding of enterprise security, compliance, and governance frameworks
Experience designing event-driven and serverless AI systems on Azure

Tech Stack

Frontend: React, Next.js, TypeScript, Tailwind
Backend: Python (FastAPI), Node.js, .NET APIs
AI Stack: Azure OpenAI, LangChain, Semantic Kernel, RAG Pipelines
Data: PostgreSQL, Redis, Azure AI Search, Vector Databases
Cloud & DevOps: Azure Functions, Azure API Management, GitHub Actions, Docker, Kubernetes, OpenTelemetry

Quick apply

Refine Your Search

java full stack developer jobs in markham, on

GenAI Full Stack Developer (PL854)

Mean Stack Developer

Senior Software Engineer

Staff Android OS Engineer - Infotainment

.Net Developer

Agentic AI Platform Engineer (PL862)

CCaaS Engineer

Senior Backend Engineer, AI Platform

Staff Back End Engineer (Applications)

Engineer II - WIAM

Senior Site Reliability Engineer

Sr. Software Engineer, Backend

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